Noninvasive Load Identification Method Based on Feature Similarity. (24th February 2020)

• Record Type: Journal Article
• Authors: Li, Hongyan; Ding, Xianfeng; Qu, Dan; Lin, Jiang
• Other Names: Pai Ping-Feng Academic Editor.
• Is Part Of: Journal of electrical and computer engineering. Volume 2020(2020)
• Publication Date: 2020-02-24
• Subjects: Computer engineering -- Periodicals; Electrical engineering -- Periodicals; 621.3905
• DOI: 10.1155/2020/3585606
• Languages: English
• ISSNs: 2090-0147

Abstract

Abstract : The traditional power load identification is greatly restricted in application because of its high cost and low efficiency. In this paper, the similarity model is established to realize the noninvasive load identification of power by determining the feature database for the equipment. Firstly, the wavelet decomposition method and the wavelet threshold processing method are used to remove abnormal points and reduce noise of the original data, respectively. Secondly, the transient and steady-state characteristics of electrical equipment (active power and reactive power, harmonic current, and voltage-current trajectory) are extracted, and the feature database for the equipment is established. Thirdly, the feature similarity is defined to describe the similarity degree of any two devices under a certain feature, and the similarity model of automatic recognition of a single device is established. Finally, the device identification and calculation of power consumption are carried out for the part of data in annex 2 of question A in the 6th "teddy cup" data mining challenge competition.